Assessing the performance of benign and malignant breast lesion classification with bilateral TIC differentiation and other effective features in DCE-MRI-Reference-Cited by-同舟云学术

Assessing the performance of benign and malignant breast lesion classification with bilateral TIC differentiation and other effective features in DCE-MRI

Published:2019-01-28 Issue:2 Volume:50 Page:465-473
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J. Magn. Reson. Imaging

Author:

Li Hong¹,Sun Hang¹,Liu Siqi¹,Zhang Wei²,Arukalam Felicity Mmaezi¹,Ma He¹,Qian Wei¹³

Affiliation:

1. Sino-Dutch Biomedical and Information Engineering School; Northeastern University; Shenyang China

2. Shengjing Hospital of China Medical University; Shenyang China

3. Department of Electrical and Computer Engineering; University of Texas; El Paso Texas USA

Funder

Fundamental Research Funds for the Central Universities of China

National Key Research and Development Program Sub- topics of China

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/jmri.26646/fullpdf

Reference37 articles.

1. Automated localization of breast cancer in DCE-MRI;Gubern-Merida;Med Image Anal,2015

2. Computer-aided classification of breast masses: Performance and interobserver variability of expert radiologists versus residents;Singh;Radiology,2011

3. Role of diffusion weighted images combined with breast MRI in improving the detection and differentiation of breast lesions;Hetta;Egypt J Radiol Nucl Med,2015

4. A computer-aided diagnosis system for breast DCE-MRI at high spatiotemporal resolution;Dalmis;Med Phys,2016

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